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Quality Assurance in the European Statistical System

Quality Assurance in the European Statistical System. Øystein Olsen Director General, Statistics Norway. Q2010 Conference Helsinki, 4 May 2010. Complexity of societies Globalisation and European integration Increased demand for high quality official statistics in Europe

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Quality Assurance in the European Statistical System

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  1. Quality Assurance in the European Statistical System Øystein Olsen Director General, Statistics Norway Q2010 Conference Helsinki, 4 May 2010

  2. Complexity of societies Globalisation and European integration Increased demand for high quality official statistics in Europe Quality decisive for trust! Quality and Trust in Statistics

  3. European Statistics Code of Practice Cracow/Haag action plans – modernisation of the system New European Statistical Law New Governance structure: ESAC and ESGAB Sponsorship on Quality ESS responses to the challenges

  4. ESS Sponsorship on Quality The mandate: • To promote a common view and understanding of ESS quality management • To recommend possible modifications of the Code of Practice • To provide recommendations on how to proceed with quality work in ESS

  5. Work Program of the Sponsorship on Quality:

  6. Quality frameworks and the ESCoP

  7. Implementing Quality Frameworks • The European level: Code of Practice compliance: • International reviews and benchmarking • National Quality Assurance: • A common framework: The Code of Practice • Minimum standards • Quality guidelines • Tools (indicators, reports, assessments etc) • Documentation

  8. ESS Quality architecture ESS level national / Eurostat level ESS Statistical Law national Statistical Law ESS Quality Declaration (national TQM framework) National QAF: Description of practices and procedures for implementing the CoP QAF: ESS standards for implementing the CoP

  9. Tools for quality assurance (Eurostat handbook) ……………

  10. Documentation of Code of Practice compliance – the French case: http://www.insee.fr/en/insee-statistique-publique/default.asp?page=qualite/pratiques.htm

  11. Quality and standardisation Standardisation of processes, methods and systems • Facilitates quality assessment and assurance • Reduces risks • Effectiveness • Benchmarking • Best practices • also through international cooperation

  12. Metadata system Support and Infrastructure Data Editing and Estimation Dissemination Data Collection Analysis IT Services InformationManagement Archive Support and infrastructure in the Business process model

  13. Quality and methodology • The pioneers were statisticians • But what is the situation today? • Need for revitalisation of statistical methodology within quality work?

  14. Non-response rate and Diffusion Index with 95 percent confidence interval

  15. Aspects of quality in register based statistics • Relevance (for statistics) • Accuracy (of each record) • Timeliness (update of registers) and reference time • Comparability (over time) • Accessibility and clarity (documentation) • Administrative concepts • Coverage and completeness • Record matching ability • Compatibility (between file formats) • Confidentiality Source: Eurostat meeting on Assessment of quality in statistics 2003

  16. Administration of statistical populations Original register Statistical version

  17. The way forward • The Code of Practice has to be kept alive! • National Quality Assurance: • Agreeing on minimum standards • Standardisation and harmonisation • Bringing in the statisticians! • Unlike businesses, we are free to cooperate!

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